Do Deep Neural Networks Suffer from Crowding?

Do Deep Neural Networks Suffer from Crowding?

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Crowding is a visual effect suffered by humans, in which an object that can be recognized in isolation can no longer be recognized when other objects, called flankers, are placed close to it. In this work, we study the effect of crowding in artificial Deep Neural Networks for object recognition. We...

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Bibliographic Details
Main Authors: Volokitin, Anna, Roig, Gemma, Poggio, Tomaso
Format: Technical Report
Language:en_US
Published: Center for Brains, Minds and Machines (CBMM), arXiv 2017
Subjects:
Deep Neural Networks
deep convolutional neural networks
DCNN
eccentricity-dependent
Online Access:http://hdl.handle.net/1721.1/110348

Internet

http://hdl.handle.net/1721.1/110348

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